Ready to be a Titan? As the Lead Data Scientist on our Operations data science team supporting the Finance organization, you will use machine learning, generative AI, and data-driven insights to drive financial planning, optimize spend, and inform strategic decision-making across ServiceTitan.

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Data Accuracy & Validation● Validate data integrity across reporting outputs and source systems within your division ● Identify discrepancies and investigate root causes in collaboration with the data engineering team ● Ensure all data is reviewed and verified before distribution to stakeholders ● Proactively surface data quality issues before they reach leadership or clinical teams Reporting & Dashboards● Build and maintain dashboards and reports using Looker, Power BI, Tableau, or similar tools ● Translate operational and clinical data into clear, structured insights for non-technical stakeholders ● Support recurring reporting needs for divisional leadership ● Ensure dashboards are simple, usable, and actively adopted by teams Metric Consistency ● Apply standardized metric definitions as established and governed by BII leadership ● Maintain documentation of reporting logic and calculation methods within your division ● Escalate metric inconsistencies or definitional gaps to the BII Director for resolution Cross-Functional Collaboration● Work closely with divisional operations and clinical leadership to understand reporting needs ● Act as the primary consumer of data engineering outputs — raise pipeline issues through the BII Director ● Contribute to broader BII reporting initiatives as directed by BII leadership What success looks like ● Leadership trusts the numbers without questioning them ● Dashboards are simple, actionable, and widely used by your division ● Data issues are caught before they reach decision-makers ● Reporting processes are reliable, repeatable, and well-documented ● Discrepancies are identified and escalated — or resolved — in a timely manner Requirements● Strong SQL proficiency complex queries, joins, aggregations, and data validation logic ● Proven experience building and maintaining dashboards (Looker, Power BI, Tableau, or similar) ● 3–7+ years in data analytics, business intelligence, or reporting roles ● Demonstrated experience working across multiple data sources and reconciling inconsistencies ● Strong attention to detail with a track record of identifying and resolving data discrepancies ● Ability to explain data clearly and confidently to non-technical stakeholders Advantageous● Experience in healthcare, clinical operations, or multi-location environments ● Familiarity with EMR systems (e.

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